Nvidia Corporation

Jen-Hsun Huang

Justin Ebert

Dane Johnston

Prajakta Gudadhe

Siarhei Murauyou

Glenn Alan Wernig

Spencer Huang

Madison Huang

David M Collins

Lorenzo Ibarria

Andrew R Bell

Xun Wang

Joseph Douglass Walters

Craig Crawford

Brian Roger Loiler

James Ian Lee

Darren A Burckhard

Don C Miller

Trevor Boswell

Jason Y Su

An Nguyen

Franck Diard

John Stephen Montrym

Ziyad Sami Hakura

Brian K Langendorf

Brad W Simeral

Gerrit Ary Slavenburg

Stephen Donald Lew

David Cook

Michael Brian Cox

Thomas Francis Fox

Taner E Ozcelik

Arman Toorians

Rev Lebaredian

Tony Tamasi

Nelson Au

Tommy Lee

Bojan Skaljak

Berhanu Zerayohannes

John C Schafer

Blanton Scott Kephart

Chad Vivoli

Andrew Edelsten

Traditionally, a software application is developed, tested, and then published for use by end users. Any subsequent update made to the software application is generally in the form of a human programmed modification made to the code in the software application itself, and further only becomes usable once tested, published, and installed by end users having the previous version of the software application. This typical software application lifecycle causes delays in not only generating improvements to software applications, but also to those improvements being made accessible to end users. To help avoid these delays and improve performance of software applications, deep learning models may be made accessible to the software applications for use in providing inferenced data to the software applications, which the software applications may then use as desired. These deep learning models can furthermore be improved independently of the software applications using manual and/or automated processes.

Automatic dataset creation using software tags

In various examples, at least partial control of a vehicle may be transferred to a control system remote from the vehicle. Sensor data may be received from a sensor(s) of the vehicle and the sensor data may be encoded to generate encoded sensor data. The encoded sensor data may be transmitted to the control system for display on a virtual reality headset of the control system. Control data may be received by the vehicle and from the control system that may be representative of a control input(s) from the control system, and actuation by an actuation component(s) of the vehicle may be caused based on the control input.

Remote operation of a vehicle using virtual representations of a vehicle

A computer implemented method of executing applications in a cloud server system is presented. The method comprises receiving a file identifier from a client device. The method also comprises receiving a file associated with the file identifier from a first server. Further, the method comprises accessing an application associated with the file from memory of the cloud server. Also, the method comprises executing by the cloud server the application using the file received from the first server. Finally, the method comprises streaming results from the executing the application as a video stream destined for the client device.

Method and apparatus for execution of applications in a cloud system

Remote control system for training deep neural networks in autonomous machine applications

Remote operation of a vehicle using virtual representations of a vehicle state

Remote operation of vehicles using immersive virtual reality environments

A system for cooperative application control. In one embodiment, the system includes: (1) a cloud application engine for executing application code configured to allow interaction with an application, generate a video stream corresponding to a particular user and accept a response stream from the particular user to allow the particular user to interact with the application and (2) a cooperative interaction engine associated with the cloud application engine for communication therewith and configured to multicast the video stream from the cloud application engine to the particular user and at least one other user, combine separate response streams from the particular user and the at least one other user into a joint response stream and provide the joint response stream to the cloud application engine.

System and method for cooperative application control

The disclosure provides a virtual view broadcaster, a virtual view broadcasting system, and a video gaming broadcaster. In one embodiment, the virtual view broadcaster includes: (1) a cloud-based renderer configured to generate virtual view images from a virtual camera positioned in a computer application, and (2) an image processor configured to generate a virtual view stream for the virtual camera employing the virtual view rendered images, wherein the virtual view images are from different viewing directions at the virtual camera.

Cloud generation of content to be streamed to VR/AR platforms using a virtual view broadcaster

A system for cooperative game control. In one embodiment, the system includes: (1) a cloud game engine for executing game code configured to create a game, generate a video stream corresponding to a particular player and accept a response stream from the particular player to allow the particular player to play the game and (2) a cooperative play engine associated with the cloud game engine for communication therewith and configured to multicast the video stream from the cloud game engine to the particular player and at least one other player, combine separate response streams from the particular player and the at least one other player into a joint response stream and provide the joint response stream to the cloud game engine.

System and method for cooperative game control

A system for multi-client control of a common avatar is provided herein. The system includes, for example, a cloud game engine and a cooperative play engine associated with the cloud game engine and configured to multicast a video stream from the cloud game engine to multiple players, combine separate response streams from the multiple players into a joint response stream based on avatar functions contained therein and provide the joint response stream to the cloud game engine.

System and method for multi-client control of a common avatar

A passive stylus with a deformable tip is described herein. In one embodiment, a thin annular body configured to be hand-held with a chisel shaped tip disposed at the first end of the body is provided. The chisel shaped tip includes a deformable material such that the chisel shaped tip is operable to interface with a touch a sensitive surface with a detectable surface area when a first pressure is exerted on the body and translated to the chisel shaped tip. The chisel shaped tip is operable to interface with the touch sensitive surface with a second detectable surface area, this one different from the first detectable surface area, when a second pressure is exerted on the body and translated to the chisel shaped tip. The stylus may include a second tip on the back end for providing an erase function.

Stylus tool with deformable tip

Cover for portable game device

Portable game device

Circuits, methods, and apparatus that provide highly integrated digital media processors for digital consumer electronics applications. These digital media processors are capable of performing the parallel processing of multiple format audio, video, and graphics signals. In one embodiment, audio and video signals may be received from a variety of input devices or appliances, such as antennas, VCRs, DVDs, and networked devices such as camcorders and modems, while output audio and video signals may be provided to output devices such as televisions, monitors, and networked devices such as printers and networked video recorders. Another embodiment of the present invention interfaces with a variety of devices such as navigation, entertainment, safety, memory, and networking devices. This embodiment can also be configured for use in a digital TV, set-top box, or home server. In this configuration, video and audio streams may be received from a number of cable, satellite, Internet, and consumer devices.

Digital media processor

Growing community of inventors

Santa Clara, CA, United States of America

Jen-Hsun Huang